🐻⬇️🏀

Ursinus Bears

Also known as: Ursinus
Program History

Model Outputs

2025-2026
Catalog

Output is shown as model rating with league rank in parentheses when available.

Model Output Notes
Elo Elo Streaming paired-comparison rating with recency baked into sequential updates. More → 1058 (#162) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → 1050 (#261) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +56 elo More → 1050 (#174) HCA +56 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +2.3 More → -0.5 (#126) HCA +2.3
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +3.0 More → -0.1 (#352) HCA +3.0
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → 0.594 (#405) -
Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. NetEff +4.9 More → 0.653 (#35) NetEff +4.9
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet -3.7 More → 0.395 (#403) AdjNet -3.7
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet -4.0 More → 0.386 (#401) AdjNet -4.0
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 76.8 | AdjD 79.8 More → 0.433 (#406) AdjO 76.8 | AdjD 79.8
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 80.6 | AdjD 75.9 More → 0.607 (#206) AdjO 80.6 | AdjD 75.9
Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. Blend of Elo, BT, Margin, PythLog, PtsOD More → 0.568 (#341) Blend of Elo, BT, Margin, PythLog, PtsOD
Recency Ensemble Recency Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and recency points off/def. Blend of Elo, BT, Margin, PythLog, PtsOD More → 0.583 (#332) Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 96 | GP 21 More → 1109 (#157) RD 96 | GP 21

2026 Schedule & Results

Date Vs/At Opponent Result Score
2025-11-07 vs Elmira W 84 - 65
2025-11-08 vs Marietta L 97 - 100
2025-11-11 @ Albright W 75 - 71
2025-11-22 @ Widener W 81 - 74
2025-11-25 @ Goucher L 72 - 76
2025-12-03 vs FDU-Florham W 93 - 77
2025-12-08 vs Rosemont W 87 - 56
2025-12-19 vs Scranton L 77 - 89
2025-12-20 @ York (PA) W 80 - 70
2025-12-29 @ Hunter W 86 - 34
2025-12-30 @ Moravian L 79 - 81
2026-01-03 vs Elizabethtown L 76 - 95
2026-01-10 @ Washington Col. W 95 - 87
2026-01-14 vs Haverford W 94 - 66
2026-01-17 @ Gettysburg L 74 - 80
2026-01-21 @ Muhlenberg W 87 - 72
2026-01-24 vs McDaniel W 79 - 52
2026-01-28 vs Swarthmore W 82 - 73
2026-01-31 @ Dickinson L 70 - 72
2026-02-04 vs Franklin & Marshall W 72 - 69
2026-02-07 vs Johns Hopkins L 78 - 84

2026 Roster

Minutes by Position

The surface stays filled across the five on-court roles. Use the labels or legend to isolate how each player absorbs guard-to-big minutes.

Player Pos GP MIN PTS REB AST STL BLK TO FGA Numbers PM PM/G PM/40 FG% 3P% FT% RAPM TS% eFG%
Brendan Carr - 1 34.0 28.0 4.0 1.0 1.0 0.0 1.0 14.0 19.0 24 1.3 4.2 78.6 50.0 100.0 0.56 91.4 89.3
Nick Ruisi - 1 33.0 21.0 12.0 4.0 1.0 1.0 2.0 15.0 22.0 9 0.6 4.5 53.3 100.0 100.0 0.91 62.6 56.7
Mohamed Toure - 20 27.9 16.4 6.3 0.8 0.9 0.8 1.6 10.8 12.9 48 2.4 9.8 50.0 36.8 72.2 -2.01 61.3 56.5
Jamie Murphy - 19 29.4 16.0 6.8 2.7 1.7 0.4 3.6 11.2 12.7 62 3.1 12.1 53.1 18.2 74.0 3.12 59.1 54.0
Nick Nocito - 20 29.1 11.4 3.9 5.8 2.0 0.1 3.8 8.4 10.8 74 3.7 16.4 46.2 17.0 67.0 1.74 54.2 48.8
Will Marion - 1 20.0 10.0 4.0 2.0 1.0 0.0 0.0 5.0 12.0 51 2.7 10.7 80.0 0.0 100.0 -1.29 85.0 80.0
Luke Nieman - 19 24.1 9.0 2.6 0.6 1.1 0.1 0.7 7.3 5.4 77 3.9 20.9 42.4 40.4 52.9 3.12 58.4 58.3
Matthew Field - 20 22.0 7.8 5.3 0.9 0.9 0.9 1.1 4.8 10.2 52 2.6 13.2 54.7 25.0 69.0 -0.56 62.2 56.8
Ben Robinson - 1 31.0 7.0 2.0 0.0 2.0 0.0 1.0 6.0 4.0 -13 -0.7 -2.3 33.3 33.3 50.0 1.9 50.9 50.0
Tomas Belaiter - 19 21.5 6.1 4.3 1.2 0.9 0.6 0.9 4.6 7.6 15 0.8 5.3 50.0 27.8 60.5 0.71 55.4 52.8
Porter Kelly - 19 17.2 6.1 2.0 0.6 0.8 0.2 1.3 5.4 2.9 5 0.3 1.8 38.2 30.6 70.4 -1.05 50.9 47.5
Jasper Buck - 18 9.3 4.4 0.8 0.2 0.3 0.1 0.2 4.2 1.4 62 3.4 41.8 36.8 35.3 0.0 -1.38 52.3 52.6
Jon Spatola - 1 37.0 4.0 3.0 7.0 2.0 1.0 4.0 8.0 5.0 23 1.2 3.9 12.5 50.0 50.0 -0.34 22.5 18.8
Trevor Toulson - 20 15.7 3.5 2.6 0.9 0.7 0.9 0.9 2.4 5.5 33 1.6 13.9 64.6 0 32.1 0.94 58.9 64.6
Lucas Murshrush - 8 4.3 2.2 1.1 0.0 0.1 0.1 0.4 1.8 1.5 20 3.3 175.2 50.0 28.6 100.0 -0.08 60.5 57.1
Luca Baratta - 1 13.0 2.0 0.0 1.0 0.0 0.0 3.0 1.0 -1.0 -38 -2.0 -17.2 0.0 0 100.0 -3.5 53.2 0.0
Brycen Martin - 8 4.2 1.1 0.8 0.4 0.2 0.0 0.4 1.5 0.6 22 3.1 138.6 16.7 0.0 83.3 -0.1 30.7 16.7
Graham Eilberg - 8 3.5 0.6 0.6 0.2 0.1 0.0 0.2 1.0 0.4 17 2.8 188.9 12.5 12.5 100.0 -0.03 28.2 18.8
Patrick Downes - 5 3.7 0.4 1.4 0.2 0.0 0.2 0.2 0.8 1.2 12 3.0 80.0 25.0 0.0 0 0.91 25.0 25.0
Nico Gordon - 9 3.9 0.4 1.6 0.1 0.0 0.1 0.3 0.3 1.6 14 1.6 155.6 33.3 0 50.0 -0.03 42.0 33.3
Hamilton Roth - 1 4.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -15 -1.2 -65.9 0 0 0.0 0.11 0.0 0

Numbers/Game vs RAPM

X-axis = Numbers/Game (PTS+REB+AST+STL+BLK-TO-FGA), Y-axis = RAPM.

Advanced: Numbers = PTS+REB+AST+STL+BLK-TO-FGA, PM = total +/-, PM/G = per game, PM/40 = per 40 minutes, RAPM = Regularized Adj Plus-Minus, TS% = True Shooting, eFG% = Effective FG